Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm
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Updated
Aug 19, 2022 - Clojure
Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm
Navigation Project - Udacity Deep Reinforcement Learning Nanodegree
Various RL algorithms implementations
Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'
Using reinforcement learning to play games.
This is the repository for Offline-Online Representation Learning for Reinforcement Learning.
This repository contains my implementations of well-known reinforcement learning algorithms for training a single agent. All implementations are done using PyTorch and Python >=3.6.
Implementing different reinforcement learning algorithms on different gym environments and comparing results.
Short own implementation of the game snake. In this project I'am using the ray library together with ray tune and a custom PPO model.
Implémentations d'apprentissage par renforcement mixées avec des techniques de Deep Learning sur des environnements OpenAI Gym
This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY…
Implementation of RL algorithms to beat Atari 2600 games
Reinforcement learning applied in the game of poker (holdem texas version).
Training RL agent to master Facebook TetrisBattle--PyTorch implementation
Tasks with combinatorial structure embedded in MuJoCo robotics environments.
RLjs currently serves as an interactive playground for learning reinforcement learning.
Custom Reinforcement Learning Agents
Optimized version of the MinAtar (testbed for AI agents) codebase along with benchmarks for standard Reinforcement Learning agents on various environments.
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